Hunter Gray

Hunter is an AI girlfriend enthusiast first and a data analyst second, and both show up on every page he writes. He has been using AI companion platforms since the category started, and he writes the brand profiles on this site the way an analyst covers a market: with a fixed set of indicators, the same for every site, read in the same order.

He tests every platform himself. Hunter buys a membership, uses the product for weeks, and works through it feature by feature: chat and roleplay, memory across sessions, image generation, voice and video, the free tier, the pricing page and the cancellation flow. That tells him what the product does.

He does not take his own word for it. For a brand used by millions, one reviewer’s taste is a thin basis for a verdict, so Hunter reads what users publish: the transcripts of the most-watched YouTube videos, the Reddit threads Google surfaces, with their top comments and upvotes, and the press. Every source is classified after reading it in full, and the page says where his own test agrees with users and where it does not.

Then he measures. Estimated search traffic and ranking keywords from DataForSEO, brand search demand from Google Ads data, all-traffic popularity from Tranco and Google’s Chrome UX Report, Domain Rating from Ahrefs, Google Trends and video, news and search-suggestion data through SerpApi. Every figure on a profile names its source and the month it covers, and the whole set is refreshed monthly. The method page describes each indicator.